SATYAM COMPUTER SERVICES LIMITED OF MAYFAIR CENTER

SYSTEM AND METHOD FOR DEEP ANNOTATION AND SEMANTIC INDEXING OF VIDEOS - Video on demand services rely on frequent viewing and downloading of content to enhance the return on investment on such services. Videos in general and movies in particular hosted by video portals need to have extensive annotations to help in greater monetization of content. Such deep annotations help in creating content packages based on bits and pieces extracted from specific videos suited to individuals' queries thereby providing multiple opportunities for piece-wise monetization. Considering the complexity involved in extracting deep semantics for deep annotation based on video and audio analyses, a system and method for deep annotation uses video/movie scripts associated with content for supporting video-audio analysis in deep annotation.

04-14-2011

20110013527

SYSTEM AND METHOD FOR DEEP PACKET INSPECTION - IP networks carry packets that consist of headers and payloads. Typical traffic analysis systems at layer 3 process packet headers in order to obtain as much information about the traffic as possible. However, performing of deep packet analysis requires the processing of packet payloads as well. Another important requirement of layer 3 processing is the need to process the payloads at wire speeds. A system and method for deep packet inspection at layer 3 involves (a) an approach for packet payload processing; (b) accounting for out of order arrival of packets; (c) an approach for partial match analysis so as to be able to analyze the traffic flows when only partial information is available; and (d) an approach for effective payload processing for attempting to achieve wire speed processing.

01-20-2011

20100011021

SYSTEM AND METHOD FOR CONTEXT MAP GENERATION - Personalized services and targeted services demand the exploitation of context—say, context of an environment, context of a product, context of a service, and context of a customer or user or individual. In order for the personalized and targeted services to have a greater impact, the identified context used by a context aware processing engine needs to be accurate and current. Such an up-to-date context is called as context map and a system and method for generating a customer-specific context map involves the processing of customer transactions, abstracting and generalizing these transactions into entities, and inter-relating these entities. The context map, for example, is useful in ad targeting in mobile environments, and in quicker and efficient problem resolution in contact center environments.